Identification of QTL and Analysis QTL with Tolerance to Sclerotinia sclerotiorum in Soybean

被引:1
|
作者
Zhao Xue [1 ]
Jiang Hai-peng [1 ]
Song Wei [1 ]
Feng Lei [1 ]
Tan Jia-qi [1 ]
Han Ying-peng [1 ]
Li Wen-bin [1 ]
机构
[1] Soybean Research Institute, Northeast Agricultural University, Key Laboratory of Soybean Biology of Chinese Education Ministry
关键词
soybean; Sclerotinia sclerotiorum; QTL mapping; candidate gene;
D O I
暂无
中图分类号
S435.651 [大豆病虫害];
学科分类号
090401 ; 090402 ;
摘要
Soybean white mold(SWM) caused by Sclerotinia sclerotiorum is a serious disease of soybean and other plant, which is mainly distributed in the soybean producing areas of north China, east China, southwest and northeast China. The tolerance of soybean to sclerotium is partial resistance(quantitative trait), which is controlled by multiple genes. Mapping QTL and identifying candidate genes underlying soybean tolerance to SWM can accelerate the process of breeding for disease-resistant varieties. In the present study, a total of 128 lines derived from the susceptible soybean cultivar Hefeng25 and the disease tolerant soybean cultivar Maple Arrow were evaluated by in vitro and in vivo inoculation methods. A total of 78 SSR markers were used to construct linkage groups(D1 a(Chr.01), A2(Chr.08), B1(Chr.11) and F(Chr.13)) which intensively distributed SWM resistance related QTLs. Five QTLs were detected through combining two sets of phenotypic data with the composite interval mapping(CIM) method. A total of seven candidate genes located in the five QTLs were induced by Sclerotinia sclerotiorum. The SSR markers and candidate genes associated with tolerance to Sclerotinia sclerotiorum could be helpful for SWM resistance breeding in soybean.
引用
收藏
页码:9 / 17
页数:9
相关论文
共 50 条
  • [41] Identification and mapping of stable QTL for protein content in soybean seeds
    J. Wang
    P. Chen
    D. Wang
    G. Shannon
    A. Zeng
    M. Orazaly
    C. Wu
    Molecular Breeding, 2015, 35
  • [42] Identification of SNPs tightly linked to the QTL for pod shattering in soybean
    Ju Seok Lee
    Kyung Ryun Kim
    Bo-Keun Ha
    Sungtaeg Kang
    Molecular Breeding, 2017, 37
  • [43] Identification of novel Sclerotinia sclerotiorum virulence factors for development of disease control in soybean
    Simmonds, D. H.
    Zhang, Y.
    Blahut-Beatty, L.
    Itaya, A.
    Hubbard, K.
    Zheng, S.
    Wei, W.
    Clough, S. J.
    Schernthaner, J.
    IN VITRO CELLULAR & DEVELOPMENTAL BIOLOGY-PLANT, 2018, 54 : S122 - S122
  • [44] Mapping of QTL associated with chilling tolerance during reproductive growth in soybean
    Funatsuki, H
    Kawaguchi, K
    Matsuba, S
    Sato, Y
    Ishimoto, M
    THEORETICAL AND APPLIED GENETICS, 2005, 111 (05) : 851 - 861
  • [45] Identification of QTL controlling post-flowering period in soybean
    Komatsu, Kunihiko
    Hwang, Tae-Young
    Takahashi, Masakazu
    Sayama, Takashi
    Funatsuki, Hideyuki
    Oki, Nobuhiko
    Ishimoto, Masao
    BREEDING SCIENCE, 2011, 61 (05) : 646 - 652
  • [46] Identification and mapping of stable QTL for protein content in soybean seeds
    Wang, J.
    Chen, P.
    Wang, D.
    Shannon, G.
    Zeng, A.
    Orazaly, M.
    Wu, C.
    MOLECULAR BREEDING, 2015, 35 (03)
  • [47] Mapping of QTL associated with chilling tolerance during reproductive growth in soybean
    H. Funatsuki
    K. Kawaguchi
    S. Matsuba
    Y. Sato
    M. Ishimoto
    Theoretical and Applied Genetics, 2005, 111 : 851 - 861
  • [48] Identification of the QTL underlying the vitamin E content of soybean seeds
    Liu, Huancheng
    Cao, Guanglu
    Han, Yingpeng
    Jiang, Zhenfeng
    Zhao, Hongwei
    Li, Wenbin
    PLANT BREEDING, 2017, 136 (02) : 147 - 154
  • [49] Novel QTL identification and candidate gene analysis for enhancing salt tolerance in soybean (Glycine max (L.) Merr.)
    Cho, Kang-Heum
    Kim, Moon Young
    Kwon, Hakyung
    Yang, Xuefei
    Lee, Suk-Ha
    PLANT SCIENCE, 2021, 313
  • [50] Identification of SNPs tightly linked to the QTL for pod shattering in soybean
    Lee, Ju Seok
    Kim, Kyung Ryun
    Ha, Bo-Keun
    Kang, Sungtaeg
    MOLECULAR BREEDING, 2017, 37 (04)